AI-Feed scouts the opportunity. This page is the deeper layer for the current AI-agent meta on Base: who is earning, how fast the network is growing, and what is actually verifiable on-chain.
Five plain-English checks for the current AI-agent meta on Base.
Start with market cap and current protocol scale. If the market cap is already rich, the burden of proof goes up fast.
We separate fee engines, claims, and tracked agent earnings from narrative-only traction.
Jobs, throughput, trading activity, and new integrations matter when they keep compounding.
Agent count, buyers, holders, and ecosystem breadth help show whether the meta is broadening or narrowing.
Freshness, tracked wallets, claims, and on-chain data are what turn this from a theme into a proof layer.
Three proof surfaces for the current Base meta: market structure from Bankr, revenue rankings from Virtuals, and direct earnings verification from OpenClaw.
These are the names we track directly for on-chain earnings, market structure, and fee-recipient behavior.
Use this like a public market tape for the Base agent economy: market cap, liquidity, fee flow, and trading activity in one place.
| # | Token | Price | Market Cap | FDV | 24h Vol | 24h Fees | Creator Fees | Liquidity | 24h Change | Txns (24h) | Tier |
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Watch which agent businesses are turning activity into ranked revenue in the current Virtuals epoch.
| # | Agent | Revenue | Score | Prize % | Volume 24h | Holders | Cluster |
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ACP shows who is getting paid to do jobs, how many buyers they attract, and how reliable the agents look.
| # | Agent | Revenue | Jobs | Success % | Buyers | Role | Category |
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Proof trail for fee claims and pipeline refreshes. This is the audit log behind the headline numbers.